Sciweavers

JCP
2008
92views more  JCP 2008»
14 years 6 months ago
A Hierarchical Gene-Set Genetic Algorithm
In this paper, gene sets, instead of individual genes, are used in the genetic process to speed up convergence. A gene-set mutation operator is proposed, which can make several nei...
Tzung-Pei Hong, Min-Thai Wu
EOR
2008
106views more  EOR 2008»
14 years 6 months ago
Global and local real-coded genetic algorithms based on parent-centric crossover operators
Parent-centric real-parameter crossover operators create the offspring in the neighbourhood of one of the parents, the female parent. The other parent, the male one, defines the r...
Carlos García-Martínez, Manuel Lozan...
GECCO
2008
Springer
117views Optimization» more  GECCO 2008»
14 years 7 months ago
CrossNet: a framework for crossover with network-based chromosomal representations
We propose a new class of crossover operators for genetic algorithms (CrossNet) which use a network-based (or graphbased) chromosomal representation. We designed CrossNet with the...
Forrest Stonedahl, William Rand, Uri Wilensky
GECCO
2000
Springer
101views Optimization» more  GECCO 2000»
14 years 9 months ago
Using Genetic Algorithms with Asexual Transposition
Traditional Genetic Algorithms (GA) use crossover and mutation as the main genetic operators to achieve population diversity. Previous work using a biologically inspired genetic o...
Anabela Simões, Ernesto Costa
GECCO
2000
Springer
112views Optimization» more  GECCO 2000»
14 years 9 months ago
Code Compaction Using Genetic Algorithms
One method for compacting executable computer code is to replace commonly repeated sequences of instructions with macro instructions from a decoding dictionary. The size of the de...
Keith E. Mathias, Larry J. Eshelman, J. David Scha...
GECCO
2006
Springer
212views Optimization» more  GECCO 2006»
14 years 9 months ago
Non-wrapping order crossover: an order preserving crossover operator that respects absolute position
In this paper, we introduce a new crossover operator for the permutation representation of a GA. This new operator-Non-Wrapping Order Crossover (NWOX)--is a variation of the well-...
Vincent A. Cicirello
EUROGP
2006
Springer
138views Optimization» more  EUROGP 2006»
14 years 9 months ago
Evolving Crossover Operators for Function Optimization
Abstract. A new model for evolving crossover operators for evolutionary function optimization is proposed in this paper. The model is a hybrid technique that combines a Genetic Pro...
Laura Diosan, Mihai Oltean
EUROGP
2001
Springer
110views Optimization» more  EUROGP 2001»
14 years 10 months ago
General Schema Theory for Genetic Programming with Subtree-Swapping Crossover
Abstract. In this paper a new, general and exact schema theory for genetic programming is presented. The theory includes a microscopic schema theorem applicable to crossover operat...
Riccardo Poli
GECCO
2010
Springer
129views Optimization» more  GECCO 2010»
14 years 11 months ago
A probabilistic functional crossover operator for genetic programming
The original mechanism by which evolutionary algorithms were to solve problems was to allow for the gradual discovery of sub-solutions to sub-problems, and the automated combinati...
Josh C. Bongard
EH
2003
IEEE
90views Hardware» more  EH 2003»
14 years 11 months ago
Evolving Sinusoidal Oscillators Using Genetic Algorithms
In the present paper, single-opamp sinusoidal oscillators are synthesized using genetic algorithms. The motivation is to evolve new topologies of oscillators using different activ...
Varun Aggarwal